Future Mobile Applications Demand Novel Wireless Communication

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Future mobile applications demand novel wireless communication technologies due to new challenges as- sociated with the shortage of spectrums, low-power radio architectures, and communication security. For example, though mmWave can fulfill some of the spectrum demands, it can still struggle to meet the growing demands for higher data connectivity over a myriad of devices, e.g., Internet of Things (IoT) []. Therefore, more bands in the electromagnetic domains will be needed. Besides, in current and future wearable devices, battery lifetime is the critical design constraint that limits the sensor performance and data throughput []. In addition, security in wireless communication is another significant challenge since future mobile devices …show more content…

When a longer range is demanded, the power consumption of the UWB transceiver increases dramatically. Since RF trans- mission follows the “inverse square law” that the power density is proportional to the inverse square of the distance. In practice, when considering obstacles, multipath and fading, which is a big problem of impulse radio, the scenario can be even worse. In other words, increasing RF transmission distance will cost lots of power of RF devices, and shorten their battery lifetime. This power-bandwidth trade-off of UWB can be alleviated by taking advantage of optical wireless communications, which offers huge unlicensed bandwidth, high spatial re-use capability, and low co-channel interference. Therefore, by creating a UWB/Optical relay, the communication range of a UWB terminal can be extended without interfering other communications. On the other hand, optical communication has a shortcoming of directivity, so handling mobility is more challenging in optical systems than RF systems. This weakness can be overcome by using UWB as radio terminals since impulse radio has less directional constraints. Moreover, since optical signals

One application example of the proposed system is illustrated in Fig. 1 (b). In this scenario, multiple mobile sensors distributed over a geographical area need to transmit data to a remote destination node. Here

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